FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3039300052> ?p ?o ?g. }

• W3039300052 endingPage "134256" @default.
• W3039300052 startingPage "134246" @default.
• W3039300052 abstract "This study introduces an explainable artificial intelligence (XAI) approach of convolutional neural networks (CNNs) for classification in vibration signals analysis. First, vibration signals are transformed into images by short-time Fourier transform (STFT). A CNN is applied as classification model, and Gradient class activation mapping (Grad-CAM) is utilized to generate the attention of model. By analyzing the attentions, the explanation of classification models for vibration signals analysis can be carried out. Finally, the verifications of attention are introduced by neural networks, adaptive network-based fuzzy inference system (ANFIS), and decision trees to demonstrate the proposed results. By the proposed methodology, the explanation of model using highlighted attentions is carried out." @default.
• W3039300052 created "2020-07-10" @default.
• W3039300052 creator A5025400748 @default.
• W3039300052 creator A5074214984 @default.
• W3039300052 date "2020-01-01" @default.
• W3039300052 modified "2023-10-17" @default.
• W3039300052 title "Vibration Signals Analysis by Explainable Artificial Intelligence (XAI) Approach: Application on Bearing Faults Diagnosis" @default.
• W3039300052 cites W1130761448 @default.
• W3039300052 cites W1964671517 @default.
• W3039300052 cites W2029255497 @default.
• W3039300052 cites W2081097942 @default.
• W3039300052 cites W2112036221 @default.
• W3039300052 cites W2112796928 @default.
• W3039300052 cites W2140266719 @default.
• W3039300052 cites W2145487065 @default.
• W3039300052 cites W2151164317 @default.
• W3039300052 cites W2167682994 @default.
• W3039300052 cites W2210061839 @default.
• W3039300052 cites W2282821441 @default.
• W3039300052 cites W2295107390 @default.
• W3039300052 cites W243674440 @default.
• W3039300052 cites W2521656013 @default.
• W3039300052 cites W2607416494 @default.
• W3039300052 cites W2796044624 @default.
• W3039300052 cites W2800567156 @default.
• W3039300052 cites W2802453336 @default.
• W3039300052 cites W280292566 @default.
• W3039300052 cites W2809350318 @default.
• W3039300052 cites W2891503716 @default.
• W3039300052 cites W2895933188 @default.
• W3039300052 cites W2946805823 @default.
• W3039300052 cites W2952181634 @default.
• W3039300052 cites W2953987170 @default.
• W3039300052 cites W2955506857 @default.
• W3039300052 cites W2962858109 @default.
• W3039300052 cites W2963847595 @default.
• W3039300052 cites W2965813890 @default.
• W3039300052 cites W2966008650 @default.
• W3039300052 cites W2967781381 @default.
• W3039300052 cites W2968906743 @default.
• W3039300052 cites W2969482699 @default.
• W3039300052 cites W2973096226 @default.
• W3039300052 cites W2976594877 @default.
• W3039300052 cites W2987709164 @default.
• W3039300052 doi "https://doi.org/10.1109/access.2020.3006491" @default.
• W3039300052 hasPublicationYear "2020" @default.
• W3039300052 type Work @default.
• W3039300052 sameAs 3039300052 @default.
• W3039300052 citedByCount "68" @default.
• W3039300052 countsByYear W30393000522020 @default.
• W3039300052 countsByYear W30393000522021 @default.
• W3039300052 countsByYear W30393000522022 @default.
• W3039300052 countsByYear W30393000522023 @default.
• W3039300052 crossrefType "journal-article" @default.
• W3039300052 hasAuthorship W3039300052A5025400748 @default.
• W3039300052 hasAuthorship W3039300052A5074214984 @default.
• W3039300052 hasBestOaLocation W30393000521 @default.
• W3039300052 hasConcept C102519508 @default.
• W3039300052 hasConcept C119857082 @default.
• W3039300052 hasConcept C121332964 @default.
• W3039300052 hasConcept C134306372 @default.
• W3039300052 hasConcept C139502532 @default.
• W3039300052 hasConcept C153180895 @default.
• W3039300052 hasConcept C154945302 @default.
• W3039300052 hasConcept C166386157 @default.
• W3039300052 hasConcept C186108316 @default.
• W3039300052 hasConcept C195975749 @default.
• W3039300052 hasConcept C198394728 @default.
• W3039300052 hasConcept C199978012 @default.
• W3039300052 hasConcept C203024314 @default.
• W3039300052 hasConcept C33923547 @default.
• W3039300052 hasConcept C41008148 @default.
• W3039300052 hasConcept C50644808 @default.
• W3039300052 hasConcept C58166 @default.
• W3039300052 hasConcept C62520636 @default.
• W3039300052 hasConcept C81363708 @default.
• W3039300052 hasConceptScore W3039300052C102519508 @default.
• W3039300052 hasConceptScore W3039300052C119857082 @default.
• W3039300052 hasConceptScore W3039300052C121332964 @default.
• W3039300052 hasConceptScore W3039300052C134306372 @default.
• W3039300052 hasConceptScore W3039300052C139502532 @default.
• W3039300052 hasConceptScore W3039300052C153180895 @default.
• W3039300052 hasConceptScore W3039300052C154945302 @default.
• W3039300052 hasConceptScore W3039300052C166386157 @default.
• W3039300052 hasConceptScore W3039300052C186108316 @default.
• W3039300052 hasConceptScore W3039300052C195975749 @default.
• W3039300052 hasConceptScore W3039300052C198394728 @default.
• W3039300052 hasConceptScore W3039300052C199978012 @default.
• W3039300052 hasConceptScore W3039300052C203024314 @default.
• W3039300052 hasConceptScore W3039300052C33923547 @default.
• W3039300052 hasConceptScore W3039300052C41008148 @default.
• W3039300052 hasConceptScore W3039300052C50644808 @default.
• W3039300052 hasConceptScore W3039300052C58166 @default.
• W3039300052 hasConceptScore W3039300052C62520636 @default.
• W3039300052 hasConceptScore W3039300052C81363708 @default.
• W3039300052 hasFunder F4320322795 @default.
• W3039300052 hasLocation W30393000521 @default.
• W3039300052 hasOpenAccess W3039300052 @default.

• next